• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.2
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• pp.303-314
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• 2002

The colors of apparel have become an important element to be used strategically in order to give differentiated character at the level of fiber and fabric production. The colors of apparel have a close relationship with the skin colors of consumers and their preference colors. This study was carried out to classify the skin colors of Korean elderly women into several similar skin colors and to analyse their preference colors. Sample size was 471 Korean elderly women. With color spectrometer, JX-777, we measured 4 points of the body; cheek with removing cosmetics off, forehead, rear neck and arm on the interior part near elbow. All subjects had been shown with 40 color chips and answered the preference colors of apparel and the preference colors. Data weirs analysed to classify skin colors using K-means Cluster Analysis and Duncan test. Independent variables for Cluster Analysis were 12 variables out of L value, a value and b value of 4 points. In doing so, we used SPSS WIN 10 statistical package. Findings were as follows: 1) The skin colors of the Korean elderly women were composed of skin colors of YR, R, and Y. 2) 355 subjects were classified into 4 kinds of skin color groups. 3) The average face color of type 1 was 6.7YR 5.1/4.3 and 56 observations out of 355 subjects were composed of Type 1 and of Type 2 was 6.1YR 6.1/4.5 and 166 observations out of 355 and of 3 Type 6. YR 4.8/4.2 and 75 observations out of 355 and of Type was 6.17 YR 5.7/4.7 and 58 observations out of 355. 4) The average skin color of Type 1 was 7.0YR 5.9/4.4 and of Type 2 was 7.2YR 6.3/4.2 and of Type 3 was 7.0YR 6.2/4.2 and of Type 4 was 7.6YR 5.4/4.2 respectively. 5) The mean values of 12 variables between the 4 classified face color and skin color groups showed significantly different except H value of skin color. 6) All 4 groups showed that the most preference color of apparel and the most preference color were 2.5R 5/14 respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.9
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• pp.1825-1838
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• 2012

This paper proposes a fast face detection and tracking method which uses depth images as well as RGB images. It consists of the face detection procedure and the face tracking procedure. The face detection method basically uses an existing method, Adaboost, but it reduces the size of the search area by using the depth information and skin color. The proposed face tracking method uses a template matching technique and incorporates an early-termination scheme to reduce the execution time further. The results from implementing and experimenting the proposed methods showed that the proposed face detection method takes only about 39% of the execution time of the existing method. The proposed tracking method takes only 2.48ms per frame. For the exactness, the proposed detection method and previous method showed a same detection ratio but in the error ratio, which is about 0.66%, the proposed method showed considerably improved performance. In all the cases except a special one, the tracking error ratio is as low as about 1%. Therefore, we expect the proposed face detection and tracking methods can be used individually or in combined for many applications that need fast execution and exact detection or tracking.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.7C
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• pp.675-686
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• 2005

In this paper, we propose an efficient face region detection technique for the content-based video summarization. To segment video, shot changes are detected from a video sequence and key frames are selected from the shots. We select one frame that has the least difference between neighboring frames in each shot. The proposed face detection algorithm detects face region from selected key frames. And then, we provide user with summarized frames included face region that has an important meaning in dramas or movies. Using Bayes classification rule and statistical characteristic of the skin pixels, face regions are detected in the frames. After skin detection, we adopt the projection method to segment an image(frame) into face region and non-face region. The segmented regions are candidates of the face object and they include many false detected regions. So, we design a classifier to minimize false lesion using CART. From SGLD matrices, we extract the textual feature values such as Inertial, Inverse Difference, and Correlation. As a result of our experiment, proposed face detection algorithm shows a good performance for the key frames with a complex and variant background. And our system provides key frames included the face region for user as video summarized information.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.2C
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• pp.184-191
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• 2008

Oriental base diagnosis method is not going to hospital different from Oriental medicine and because of the possible disease diagnosis through the network and many communication equipment. Especially diagnosis development using ocular inspection method aspect of Oriental medicine among an aging society advance into cut the medical cost for contribution. Ocular inspection method the most important look at disease color that is Observing a Person's Shape and Color which is implementation the development of methodology and important the build of application ability system. So in this paper study observing a person's shape and color implementation of ocular inspection. Specially body's the five viscera presentate the five colors disease color in face that is important the color coordinate system thesis so that proceed the experiment for the color coordinate system analysis. Finally five color extract need the observing a person's shape and color through experiment select the digital color system and so real skin color analysis and comparison about the experiment which suggest the something to color coordinate system the best case of digital color system for observing a person's shape and color implementation.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.39 no.3
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• pp.251-257
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• 2013

In this study, ultraviolet protection factor (Sun Protection Factor, SPF) was investigated to provide basic data for subject safety and research of ultraviolet (UV) irradiation test in the future. Trial subjects (395 people) of skin type I, II, and III were evaluated according to skin type standard table. After measuring the skin color using a colorimeter, ITA (Individual Typology Angle) value was calculated. Subjects with 28 and above ITA value were positioned comfortably to be UV irradiated for 60 s and erythema was evaluated 24 hours after application. MED (Minimal Erythema Dose) was investigated where the minimal amount of erythema existed among UVB irradiated area. Statistical analysis was investigated using Statistical Package the Social Sciences program. As a result, the darker skin color results in the higher MED value since the higher skin type number results increased MED value and female has higher MED value than male since female has darker skin type than male. There was no relation between MED difference by ages in all different ages. However, it is hard to draw a conclusion as above since the number of subjects were not sufficient to support statistical significance for MED values by different ages. However, MED values by skin types obtained through this study can be used as a standard when MED value is expected to evaluate efficacy of sunscreen product and as basic data for further safety of clinical researches.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.41 no.2
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• pp.97-103
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• 2015

Until recently, the three conventional evaluation methods, which are instrumental (Chromameter$^{(R)}$ CR-400 and Mexameter$^{(R)}$ M18) and visual assessments have been used frequently for skin color evaluation. However, we took notice the potential of image analysis as a new tool to evaluate color change of skin. To reveal the reliability of the image analysis for the evaluation of whitening agents, 34 healthy female volunteers with hyperpigmentation were recruited, and the selected volunteers applied the whitening products containing Vitamin C twice a day in the morning and evening and received iontophoresis treatments once a week for 8 weeks. The changes in hyperpigmentation evaluated by Chromameter$^{(R)}$, Mexameter$^{(R)}$ and visual assessment were compared with the results from the image analysis. As with $L^*$ value trends of the analysis using Chromameter$^{(R)}$, the V value from the image analysis increased after applying the test products compared with baseline values. Furthermore, V value showed a positive correlation with $L^*$ value (r = 0.494, p < 0.01) and negative correlation with MI (r = - 0.683, p < 0.01) and VG (r = - 0.549, p < 0.01). Therefore, image analysis may be considered as an effective method to complement the limitations of visual assessment for whitening efficacy in Asians.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.41 no.4
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• pp.413-420
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• 2015

The skin is one of the largest organs in our body and participates in many of the human organism's physiological and pathological events. Skin function were known for self-maintenance and self-repair, mechanical and chemical stress protection, protection against UV and environmental pathogenic micro-organisms, production of vitamin D, and social and psychological function through the physical aspect. The aim of this study was to evaluate the variation of biophysical parameters and to find relation with skin biomarkers in different anatomical site and age in Korean women. About 70 healthy volunteers in age range 20 to 49 were participated in this test. Test areas were the forearms and the cheek. Investigation to determine biophysical parameters on human skin, was carried out using various non-invasive methods. For analysis to skin biomarkers, we studied to examine various biomarkers for the quantitative determination of cortisol, fibronectin, keratin-1, 10, and 11, involucrin, and keratin-6 in human face and forearm. And we measured to skin biophysical parameters for skin anatomical site and age difference with non-invasive methods. As results of measuring site, some parameters were have following significant difference, stratum corneum hydration, trans epidermal water loss and skin color (L and a value). As results of age difference, skin colors were had only significant difference with age. For cortisol, keratin-6, fibronectin, keratin-1, 10, 11 contents, there were no significant difference in age and site. However, involucrin level in the cheeks were the highest for age group 30 ~ 39 compared to other age groups. These results suggest that in individual skin condition may explain detailed skin state variation.

• The Journal of the Convergence on Culture Technology
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• v.7 no.2
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• pp.411-417
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• 2021

The field that studies human-computer interaction is called HCI (Human-computer interaction). This field is an academic field that studies how humans and computers communicate with each other and recognize information. This study is a study on hand gesture recognition for human interaction. This study examines the problems of existing recognition methods and proposes an algorithm to improve the recognition rate. The hand region is extracted based on skin color information for the image containing the shape of the human hand, and the center of gravity profile is calculated using principal component analysis. I proposed a method to increase the recognition rate of hand gestures by comparing the obtained information with predefined shapes. We proposed a method to increase the recognition rate of hand gestures by comparing the obtained information with predefined shapes. The existing center of gravity profile has shown the result of incorrect hand gesture recognition for the deformation of the hand due to rotation, but in this study, the center of gravity profile is used and the point where the distance between the points of all contours and the center of gravity is the longest is the starting point. Thus, a robust algorithm was proposed by re-improving the center of gravity profile. No gloves or special markers attached to the sensor are used for hand gesture recognition, and a separate blue screen is not installed. For this result, find the feature vector at the nearest distance to solve the misrecognition, and obtain an appropriate threshold to distinguish between success and failure.

• Journal of the Korean Applied Science and Technology
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• v.41 no.2
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• pp.472-483
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• 2024

This study evaluated the attitudes of the Korean population towards sunscreen use through the Health Belief Model (HBM) construct and investigated the psychological factors that influence sunscreen use. For this purpose, an online survey was conducted from 1 November 2023 to 1 January 2024, and a total of 303 participants were collected. The collected data were analysed using SPSS v. 25.0 programme using Cronbach's 𝛼, frequency analysis, descriptive statistics, correlation analysis, independent samples t-test, one way ANOVA, Scheffe's test, and multiple regression analysis. The results of the study showed that the mean score of sunscreen use was 3.26±1.384 out of 5, and there was a significant correlation between the variables of the health belief model and sunscreen use (p<.01). Gender, age, and skin colour were also associated with each variable, with women, the elderly, and those with lighter skin tending to be more proactive in sun protection. Multiple regression analyses revealed that self-efficacy (𝛽=.629, p<.001) and perceived vulnerability (𝛽=.139, p<.001), sub-factors of the Health Belief Model, had a statistically significant positive effect on sunscreen use, while perceived barriers (𝛽=-.261, p<.001) had a statistically significant negative effect on sunscreen use. These results may have important theoretical implications for the development and implementation of educational programmes to promote sunscreen use by providing insight into the psychosocial factors that influence sun protection.

• Journal of the Korean Society of Costume
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• v.55 no.6 s.96
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• pp.1-14
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• 2005

The purpose of this study is to examine the makeup color range for developing the new makeup product line of domestic cosmetic brand, and suggest the special color stories and color palettes appropriate to characteristics of brand image For this study, personal color images are analyzed and classified through the literature survey of Korean womens' skin rotor like korean PCDS and japanese PCS. Also, a total of 3879 colors were selected from the 18 cosmetic brands and were analyzed by hue/tone color system. Based on the color analysis, the color range for makeup products are determined, and the typical colors of 4 personal color images are suggested. As a results, personal color images are classified into 4 types: DEW of p, lt, b tone; FLASH of s, v tone; MIST of ltg, g, sf, d tone; TERRA of dk, dkg, dp tone. we developed the color stories through five senses and lifestyles based on the consumers' emotion, and the rotor palettes suitable to each type of personal color images are developed.